Senior Research Engineer - Foundation Models, Ads Integrity

  • San Jose, CA
  • Posted 11 hours ago | Updated 11 hours ago

Overview

On Site
USD 187,040.00 - 359,720.00 per year
Full Time

Skills

FOCUS
AIM
Machine Learning (ML)
User Experience
Generative Artificial Intelligence (AI)
Translation
Monetization
ADS
Electronic Commerce
Streaming
Innovation
Product Engineering
Patents
Investments
Computer Science
Electrical Engineering
Research
Natural Language Processing
Language Models
PyTorch
JAX
Training
Optimization
Data Compression
Mentorship
Collaboration
Cross-functional Team
Technical Direction
Roadmaps
Publications
ACL
Open Source
Artificial Intelligence
Insurance
Life Insurance
Management
Information Technology
Video
LOS
Recruiting

Job Details

Location :

San Jose

Employment Type :

Regular

Job Code :

A177519

Apply to this job

Share this listing:

Responsibilities

Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking an Engineering Manager experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value. Why Join Us? 1. Work on cutting-edge AI research with real-world impact in a fast-growing tech ecosystem. 2. Collaborate with world-class researchers and engineers to push the boundaries of generative AI. 3. Competitive compensation, flexible work culture, and opportunities for rapid career growth. Responsibilities 1. Drive cutting-edge research in Generative AI and foundation models, leading projects in text generation/translation, multimodal understanding (image/video-to-text), deepfake synthesis/detection, and efficient training/inference for AImodels. Define technical roadmaps and align with long-term business goals. 2. Architect and deploy AIsolutions for monetization ecosystems (ads, e-commerce, short video, live streaming), translating research into scalable systems with measurable business impact. 3. Engage and lead a high-performing team of researchers/engineers, fostering innovation in large-scale model development, content understanding, and AI-driven productization. 4. Spearhead cross-functional collaborations with product, engineering, and infrastructure teams to productionize models, ensuring robustness, efficiency, and ethical AI practices. 5. Shape industry-leading research through patents, publications, and open-source contributions, while maintaining a pulse on emerging trends to guide strategic investments.

Qualifications

Minimum Qualifications: - PhD or MS in Computer Science, Electrical Engineering, or related fields with 5+ years of industry research experience (or equivalent) - Deep expertise in AIalgorithms (LLMs, diffusion models, etc.), with a proven track record of scaling models from research to production - Strong background in either NLP (text generation, RLHF) or multimodal learning (vision-language models) - Proficiency in PyTorch/JAX, distributed training, and inference optimization (e.g., quantization, model compression) - Team engagement experience, with the ability to mentor and collaborate with cross-functional team stakeholders, set technical direction, and align projects with business objectives - Demonstrated ability to design long-term roadmaps, anticipate industry shifts, and make high-impact technical decisions under fast-paced global business settings. Preferred Qualifications: - Publications in top-tier venues (CVPR, ICML, NeurIPS, ACL, etc.) or significant open-source contributions to AI- Experience with AI safety, alignment, or adversarial robustness in generative models - Familiarity with reinforcement learning for autonomous agents or large-scale recommender systems

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $187040 - $359720 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

Apply to this job
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.